{"id":115,"date":"2026-07-30T08:00:00","date_gmt":"2026-07-30T08:00:00","guid":{"rendered":"https:\/\/thorsten-jekel.de\/?p=115"},"modified":"2026-07-30T08:00:00","modified_gmt":"2026-07-30T08:00:00","slug":"ai-agents-opportunities-smes","status":"publish","type":"post","link":"https:\/\/thorsten-jekel.de\/en\/ai-agents-opportunities-smes\/","title":{"rendered":"What Are AI Agents \u2013 and What Opportunities Do They Offer SMEs?"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Key Takeaways<\/h2>\n\n\n<ul class=\"wp-block-list\"><li>AI agents complete multi-step tasks independently \u2013 from research assignments to process chains.<\/li><li>The difference from a chatbot: agents plan, use tools and work while you do other things.<\/li><li>For SMEs what counts is not the hype but the question: which process is worth starting with?<\/li><li>Rule of thumb for the start: frequent, rule-based, time-consuming \u2013 and a human checks the result.<\/li><\/ul>\n\n\n<p class=\"wp-block-paragraph\">After the chatbot year comes the agent era \u2013 or so it sounds from every direction. In my keynotes I usually hear two reactions: fascination and the quiet question \u201cWhat does that mean for us, concretely?\u201d. Exactly this question deserves an honest answer.<\/p>\n\n\n<h2 class=\"wp-block-heading\">What Distinguishes an AI Agent from a Chatbot?<\/h2>\n\n\n<p class=\"wp-block-paragraph\">A chatbot answers, an agent works: it breaks an assignment into steps, uses programs and data sources, checks interim results and reports back with the finished outcome. \u201cWrite me a summary\u201d becomes \u201cMonitor these five sources and file a briefing for me every morning\u201d. This is no longer future music \u2013 but it needs smart guardrails.<\/p>\n\n\n<h2 class=\"wp-block-heading\">Which Use Cases Pay Off First in SMEs?<\/h2>\n\n\n<ul class=\"wp-block-list\"><li>Recurring research: market, competitor or supplier monitoring.<\/li><li>Document pipelines: turning inquiries, minutes or receipts into structured data and follow-up actions.<\/li><li>Internal assistance: meeting preparation, summaries, follow-ups.<\/li><li>Quality assurance: having texts, quotes and data checked against defined rules.<\/li><\/ul>\n\n\n<h2 class=\"wp-block-heading\">Where Is Caution Required?<\/h2>\n\n\n<p class=\"wp-block-paragraph\">Wherever mistakes are expensive or data is sensitive. Agents need defined boundaries: what may they do alone, where is a human sign-off mandatory? My recommendation from practice: start small, check results, build trust step by step \u2013 like a new employee in probation. And: understand processes first, then automate. A chaotic process only gets faster chaos through an agent.<\/p>\n\n\n<p class=\"wp-block-paragraph\"><strong>Planning an event?<\/strong> As a keynote speaker for artificial intelligence, digitalization and Microsoft 365, I bring technology topics to the stage in a way that sticks \u2013 hands-on, entertaining and immediately actionable. <a href=\"https:\/\/thorsten-jekel.de\/en\/\">Here you will find an overview of my keynotes<\/a>.<\/p>\n\n\n<h2 class=\"wp-block-heading\">Frequently Asked Questions (FAQ)<\/h2>\n\n\n<h3 class=\"wp-block-heading\">Do AI agents need their own IT infrastructure?<\/h3>\n\n\n<p class=\"wp-block-paragraph\">Not to start with \u2013 many tools run in existing environments such as Microsoft 365 or as cloud services. More important than infrastructure are clear processes and responsibilities.<\/p>\n\n\n<h3 class=\"wp-block-heading\">How much time does an agent realistically save?<\/h3>\n\n\n<p class=\"wp-block-paragraph\">With well-chosen use cases, several hours per week and employee are realistic \u2013 the key is that the process occurs often enough to justify the setup effort.<\/p>\n\n\n<h3 class=\"wp-block-heading\">Is the topic ready for an annual convention?<\/h3>\n\n\n<p class=\"wp-block-paragraph\">Yes \u2013 especially now: the technology is ready, orientation is missing. A keynote that separates hype from substance and shows concrete starting points hits the nerve of decision-makers.<\/p>\n\n","protected":false},"excerpt":{"rendered":"<p>AI agents beyond the hype: what separates them from chatbots, which processes pay off first in SMEs \u2013 and where caution is required.<\/p>\n","protected":false},"author":1,"featured_media":93,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-115","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-kuenstliche-intelligenz"],"_links":{"self":[{"href":"https:\/\/thorsten-jekel.de\/en\/wp-json\/wp\/v2\/posts\/115","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/thorsten-jekel.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/thorsten-jekel.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/thorsten-jekel.de\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/thorsten-jekel.de\/en\/wp-json\/wp\/v2\/comments?post=115"}],"version-history":[{"count":1,"href":"https:\/\/thorsten-jekel.de\/en\/wp-json\/wp\/v2\/posts\/115\/revisions"}],"predecessor-version":[{"id":273,"href":"https:\/\/thorsten-jekel.de\/en\/wp-json\/wp\/v2\/posts\/115\/revisions\/273"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/thorsten-jekel.de\/en\/wp-json\/wp\/v2\/media\/93"}],"wp:attachment":[{"href":"https:\/\/thorsten-jekel.de\/en\/wp-json\/wp\/v2\/media?parent=115"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thorsten-jekel.de\/en\/wp-json\/wp\/v2\/categories?post=115"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thorsten-jekel.de\/en\/wp-json\/wp\/v2\/tags?post=115"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}